A system operating in a vehicle includes a lidar module, a camera, and a controller communicatively coupled to the camera and the lidar module. The lidar module includes: a light source configured to emit pulses of light, a scanner configured to direct the emitted pulses of light in accordance with a scan pattern to illuminate a field of regard of the lidar module, and a receiver configured to detect the emitted pulses of light scattered by one or more remote objects to capture a set of lidar pixels of a scan frame, in a sequence defined by the scan pattern. The camera has a field of view that at least partially overlaps the field of regard of the lidar module. The controller is configured to cause the camera to capture multiple images while the receiver of the lidar module captures the set of lidar pixels of the scan frame.

The present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle by comparing current image data to previously classified image data.

A system and method is provided for calibrating a portable vehicle sensor which is releasably mountable to a vehicle at least at a first and a second position on the vehicle, wherein the first and second positions are offset from each other. The system includes inputting means configured to receive position information relating to the second position when or after the portable vehicle sensor has been moved from the first position to the second position; calibration means configured to calibrate the position of the portable vehicle sensor with respect to the second position by use of the received position information.

Disclosed is a thermal-based automatic roller tracking and mapping system for roller path tracking and mapping in pavement compaction. Accuracy in estimation during roller position tracking and mapping for pavement compaction through the use of thermal imaging is achieved. The tracking and mapping system utilizes an infrared camera for automatic roller path tracking and mapping in pavement construction. The tracking and mapping data associated with the movement of the roller vehicle during compaction of the surface can be generated and visually represented in a user interface accessible to the operator of the roller vehicle. Based on the tracking and mapping data that is generated in real-time and presented to the operator in the user interface, the operator can make adjustments to the roller vehicle and path, as necessary.

The present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle by comparing current image feature data to previously classified image features.

One embodiment of the present invention discloses a process of providing a report predicting potential risks relating to an operator driving a vehicle using information obtained from various interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud network. After activating interior and exterior sensors mounted on a vehicle operated by a driver for obtaining data relating to external surroundings and internal environment, the data is forwarded to VOC for generating a current fingerprint associated with the driver. The current fingerprint represents current driving status in accordance with the collected real-time data. Upon uploading the current fingerprint to the cloud via a communications network, a historical fingerprint which represents historical driving information associated with the driver is retrieved. In one aspect, the process is capable of generating a driving analysis report which predicts potential risks associated with the driver according to the current and historical fingerprints.

Provided are a seat temperature control system and a control method thereof comprising a sensor unit collecting integrated information including vehicle information on vehicle environment, seat information on a state of a seat, and occupant information on a state of an occupant; an air conditioning device regulating airflow volume and temperature of an indoor space or a seat of the vehicle; and a control unit having a prioritizing criterion on the priority among a plurality of pieces of integrated information, prioritizing the plurality of pieces of integrated information according to the prioritizing criterion, setting target temperature of the output from the seat or the air conditioning device according to the plurality of prioritized pieces of integrated information, and controlling the air conditioning device in order for the temperature of the output from the seat or the air conditioning device to reach the target temperature.

A driving support ECU initializes a target trajectory calculation parameter at a start of LCA; calculates, based on the target trajectory calculation parameter, a target trajectory function representing a target lateral position which is a target position of an own vehicle in a lane width direction in accordance with an elapsed time from the start of LCA; calculates a target control amount based on the target trajectory function; when a steering operation by a driver has been detected, again initializes the target trajectory calculation parameter; and recalculates the target trajectory function based on the target trajectory calculation parameter.

Proposed are a device provided in a vehicle and a method for controlling same. A device provided in a vehicle according to one embodiment of the present disclosure comprises: a first module which executes a first application and outputs first video data corresponding to the first application; and a second module which is wired or wirelessly connected to the first module and outputs video data, which is the same as the first video data, at a first timing. The second module is designed to output second video data which is different from the first video data in response to, for example, an event which has occurred at a second timing after the first timing.

Provided are a seat temperature control system and a control method thereof comprising a sensor unit collecting integrated information including vehicle information on vehicle environment, seat information on a state of a seat, and occupant information on a state of an occupant; an air conditioning device regulating airflow volume and temperature of an indoor space or a seat of the vehicle; and a control unit having a prioritizing criterion on the priority among a plurality of pieces of integrated information, prioritizing the plurality of pieces of integrated information according to the prioritizing criterion, setting target temperature of the output from the seat or the air conditioning device according to the plurality of prioritized pieces of integrated information, and controlling the air conditioning device in order for the temperature of the output from the seat or the air conditioning device to reach the target temperature.